Overview

Brought to you by YData

Dataset statistics

Number of variables22
Number of observations7319
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 MiB
Average record size in memory184.0 B

Variable types

Text8
Numeric6
Categorical8

Alerts

loves_count is highly overall correlated with reviewsHigh correlation
primary_category is highly overall correlated with secondary_categoryHigh correlation
reviews is highly overall correlated with loves_countHigh correlation
secondary_category is highly overall correlated with primary_category and 1 other fieldsHigh correlation
variation_type is highly overall correlated with secondary_categoryHigh correlation
limited_edition is highly imbalanced (67.8%)Imbalance
new is highly imbalanced (67.2%)Imbalance
out_of_stock is highly imbalanced (64.0%)Imbalance
product_id has unique valuesUnique
child_count has 4758 (65.0%) zerosZeros

Reproduction

Analysis started2025-10-08 02:53:07.973300
Analysis finished2025-10-08 02:53:16.980851
Duration9.01 seconds
Software versionydata-profiling vv4.17.0
Download configurationconfig.json

Variables

product_id
Text

Unique 

Distinct7319
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size114.4 KiB
2025-10-08T02:53:17.346994image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length11
Median length7
Mean length6.9946714
Min length5

Characters and Unicode

Total characters51194
Distinct characters11
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7319 ?
Unique (%)100.0%

Sample

1st rowP473671
2nd rowP473668
3rd rowP473662
4th rowP473660
5th rowP473658
ValueCountFrequency (%)
p4736661
 
< 0.1%
p5044281
 
< 0.1%
p4736711
 
< 0.1%
p4736681
 
< 0.1%
p4736621
 
< 0.1%
p4736601
 
< 0.1%
p4736581
 
< 0.1%
p5040751
 
< 0.1%
p4712941
 
< 0.1%
p4320871
 
< 0.1%
Other values (7309)7309
99.9%
2025-10-08T02:53:17.817606image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
48843
17.3%
P7319
14.3%
04899
9.6%
54723
9.2%
33987
7.8%
73921
7.7%
23879
7.6%
13872
7.6%
63473
 
6.8%
83353
 
6.5%

Most occurring categories

ValueCountFrequency (%)
(unknown)51194
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
48843
17.3%
P7319
14.3%
04899
9.6%
54723
9.2%
33987
7.8%
73921
7.7%
23879
7.6%
13872
7.6%
63473
 
6.8%
83353
 
6.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown)51194
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
48843
17.3%
P7319
14.3%
04899
9.6%
54723
9.2%
33987
7.8%
73921
7.7%
23879
7.6%
13872
7.6%
63473
 
6.8%
83353
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown)51194
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
48843
17.3%
P7319
14.3%
04899
9.6%
54723
9.2%
33987
7.8%
73921
7.7%
23879
7.6%
13872
7.6%
63473
 
6.8%
83353
 
6.5%
Distinct7270
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size114.4 KiB
2025-10-08T02:53:18.102521image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length107
Median length76
Mean length35.862413
Min length3

Characters and Unicode

Total characters262477
Distinct characters110
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7225 ?
Unique (%)98.7%

Sample

1st rowFragrance Discovery Set
2nd rowLa Habana Eau de Parfum
3rd rowRainbow Bar Eau de Parfum
4th rowKasbah Eau de Parfum
5th rowPurple Haze Eau de Parfum
ValueCountFrequency (%)
1174
 
2.9%
mini769
 
1.9%
de576
 
1.4%
eau558
 
1.4%
hair558
 
1.4%
cream553
 
1.4%
serum459
 
1.1%
parfum445
 
1.1%
spray419
 
1.0%
with391
 
1.0%
Other values (4244)34126
85.3%
2025-10-08T02:53:18.553673image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32770
 
12.5%
e22502
 
8.6%
i19772
 
7.5%
a16163
 
6.2%
r16028
 
6.1%
n14296
 
5.4%
o12967
 
4.9%
t12289
 
4.7%
l10692
 
4.1%
u7199
 
2.7%
Other values (100)97799
37.3%

Most occurring categories

ValueCountFrequency (%)
(unknown)262477
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
32770
 
12.5%
e22502
 
8.6%
i19772
 
7.5%
a16163
 
6.2%
r16028
 
6.1%
n14296
 
5.4%
o12967
 
4.9%
t12289
 
4.7%
l10692
 
4.1%
u7199
 
2.7%
Other values (100)97799
37.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown)262477
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
32770
 
12.5%
e22502
 
8.6%
i19772
 
7.5%
a16163
 
6.2%
r16028
 
6.1%
n14296
 
5.4%
o12967
 
4.9%
t12289
 
4.7%
l10692
 
4.1%
u7199
 
2.7%
Other values (100)97799
37.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown)262477
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
32770
 
12.5%
e22502
 
8.6%
i19772
 
7.5%
a16163
 
6.2%
r16028
 
6.1%
n14296
 
5.4%
o12967
 
4.9%
t12289
 
4.7%
l10692
 
4.1%
u7199
 
2.7%
Other values (100)97799
37.3%

brand_id
Real number (ℝ)

Distinct282
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5398.4909
Minimum1063
Maximum8020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size114.4 KiB
2025-10-08T02:53:18.669069image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1063
5-th percentile1138
Q15333
median6159
Q36325
95-th percentile7065
Maximum8020
Range6957
Interquartile range (IQR)992

Descriptive statistics

Standard deviation1741.6493
Coefficient of variation (CV)0.3226178
Kurtosis0.97689759
Mean5398.4909
Median Absolute Deviation (MAD)280
Skewness-1.4361774
Sum39511555
Variance3033342.2
MonotonicityNot monotonic
2025-10-08T02:53:18.787736image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3902203
 
2.8%
1254175
 
2.4%
1073122
 
1.7%
5648115
 
1.6%
6259107
 
1.5%
5995105
 
1.4%
586996
 
1.3%
623693
 
1.3%
634684
 
1.1%
618281
 
1.1%
Other values (272)6138
83.9%
ValueCountFrequency (%)
106351
0.7%
106542
 
0.6%
107057
0.8%
107113
 
0.2%
1073122
1.7%
113238
 
0.5%
113336
 
0.5%
11388
 
0.1%
11649
 
0.1%
116929
 
0.4%
ValueCountFrequency (%)
802012
 
0.2%
801740
0.5%
801211
 
0.2%
800817
0.2%
800736
0.5%
800128
0.4%
80005
 
0.1%
71039
 
0.1%
71021
 
< 0.1%
710127
0.4%
Distinct282
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size114.4 KiB
2025-10-08T02:53:19.086808image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length33
Median length22
Mean length11.122421
Min length3

Characters and Unicode

Total characters81405
Distinct characters71
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)0.1%

Sample

1st row19-69
2nd row19-69
3rd row19-69
4th row19-69
5th row19-69
ValueCountFrequency (%)
beauty427
 
3.3%
by238
 
1.8%
bumble210
 
1.6%
sephora205
 
1.6%
collection203
 
1.5%
the180
 
1.4%
clinique175
 
1.3%
dr165
 
1.3%
cosmetics160
 
1.2%
skincare128
 
1.0%
Other values (418)11008
84.0%
2025-10-08T02:53:19.505505image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e5818
 
7.1%
a5816
 
7.1%
5780
 
7.1%
r4542
 
5.6%
i4101
 
5.0%
o3774
 
4.6%
n3026
 
3.7%
s2978
 
3.7%
t2909
 
3.6%
l2496
 
3.1%
Other values (61)40165
49.3%

Most occurring categories

ValueCountFrequency (%)
(unknown)81405
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e5818
 
7.1%
a5816
 
7.1%
5780
 
7.1%
r4542
 
5.6%
i4101
 
5.0%
o3774
 
4.6%
n3026
 
3.7%
s2978
 
3.7%
t2909
 
3.6%
l2496
 
3.1%
Other values (61)40165
49.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown)81405
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e5818
 
7.1%
a5816
 
7.1%
5780
 
7.1%
r4542
 
5.6%
i4101
 
5.0%
o3774
 
4.6%
n3026
 
3.7%
s2978
 
3.7%
t2909
 
3.6%
l2496
 
3.1%
Other values (61)40165
49.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown)81405
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e5818
 
7.1%
a5816
 
7.1%
5780
 
7.1%
r4542
 
5.6%
i4101
 
5.0%
o3774
 
4.6%
n3026
 
3.7%
s2978
 
3.7%
t2909
 
3.6%
l2496
 
3.1%
Other values (61)40165
49.3%

loves_count
Real number (ℝ)

High correlation 

Distinct6598
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31486.218
Minimum0
Maximum1401068
Zeros36
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size114.4 KiB
2025-10-08T02:53:19.620108image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1039
Q14285
median10852
Q329036.5
95-th percentile122030.1
Maximum1401068
Range1401068
Interquartile range (IQR)24751.5

Descriptive statistics

Standard deviation68973.452
Coefficient of variation (CV)2.1905919
Kurtosis74.850831
Mean31486.218
Median Absolute Deviation (MAD)8318
Skewness6.8991738
Sum2.3044763 × 108
Variance4.757337 × 109
MonotonicityNot monotonic
2025-10-08T02:53:19.730889image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
036
 
0.5%
10394
 
0.1%
11774
 
0.1%
13334
 
0.1%
44034
 
0.1%
4354
 
0.1%
16954
 
0.1%
46794
 
0.1%
32264
 
0.1%
101533
 
< 0.1%
Other values (6588)7248
99.0%
ValueCountFrequency (%)
036
0.5%
101
 
< 0.1%
131
 
< 0.1%
171
 
< 0.1%
232
 
< 0.1%
271
 
< 0.1%
431
 
< 0.1%
481
 
< 0.1%
671
 
< 0.1%
961
 
< 0.1%
ValueCountFrequency (%)
14010681
< 0.1%
11535941
< 0.1%
10813151
< 0.1%
10290511
< 0.1%
9683171
< 0.1%
8564971
< 0.1%
8400761
< 0.1%
8134971
< 0.1%
7631681
< 0.1%
7205041
< 0.1%

rating
Real number (ℝ)

Distinct4107
Distinct (%)56.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.1990454
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size114.4 KiB
2025-10-08T02:53:19.841612image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.29049
Q13.99605
median4.2888
Q34.5245
95-th percentile4.82681
Maximum5
Range4
Interquartile range (IQR)0.52845

Descriptive statistics

Standard deviation0.49587245
Coefficient of variation (CV)0.11809171
Kurtosis4.2485414
Mean4.1990454
Median Absolute Deviation (MAD)0.2668
Skewness-1.4905891
Sum30732.813
Variance0.24588948
MonotonicityNot monotonic
2025-10-08T02:53:19.964086image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5202
 
2.8%
4149
 
2.0%
4.570
 
1.0%
4.333358
 
0.8%
355
 
0.8%
3.554
 
0.7%
4.666753
 
0.7%
4.2536
 
0.5%
4.235
 
0.5%
3.666732
 
0.4%
Other values (4097)6575
89.8%
ValueCountFrequency (%)
17
0.1%
1.19051
 
< 0.1%
1.251
 
< 0.1%
1.33331
 
< 0.1%
1.51
 
< 0.1%
1.66671
 
< 0.1%
1.751
 
< 0.1%
1.77271
 
< 0.1%
1.83
< 0.1%
1.83331
 
< 0.1%
ValueCountFrequency (%)
5202
2.8%
4.99371
 
< 0.1%
4.98251
 
< 0.1%
4.97221
 
< 0.1%
4.96431
 
< 0.1%
4.96232
 
< 0.1%
4.95451
 
< 0.1%
4.95181
 
< 0.1%
4.94872
 
< 0.1%
4.94742
 
< 0.1%

reviews
Real number (ℝ)

High correlation 

Distinct1522
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean477.7695
Minimum1
Maximum21281
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size114.4 KiB
2025-10-08T02:53:20.195309image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q131
median144
Q3453
95-th percentile1966
Maximum21281
Range21280
Interquartile range (IQR)422

Descriptive statistics

Standard deviation1124.1344
Coefficient of variation (CV)2.3528803
Kurtosis85.172526
Mean477.7695
Median Absolute Deviation (MAD)131
Skewness7.5271151
Sum3496795
Variance1263678.2
MonotonicityNot monotonic
2025-10-08T02:53:20.453773image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4118
 
1.6%
2117
 
1.6%
3100
 
1.4%
699
 
1.4%
199
 
1.4%
595
 
1.3%
879
 
1.1%
1076
 
1.0%
973
 
1.0%
769
 
0.9%
Other values (1512)6394
87.4%
ValueCountFrequency (%)
199
1.4%
2117
1.6%
3100
1.4%
4118
1.6%
595
1.3%
699
1.4%
769
0.9%
879
1.1%
973
1.0%
1076
1.0%
ValueCountFrequency (%)
212811
< 0.1%
186101
< 0.1%
181271
< 0.1%
171791
< 0.1%
169351
< 0.1%
161181
< 0.1%
157561
< 0.1%
148821
< 0.1%
144681
< 0.1%
128871
< 0.1%

size
Text

Distinct1927
Distinct (%)26.3%
Missing0
Missing (%)0.0%
Memory size114.4 KiB
2025-10-08T02:53:21.461807image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length65
Median length59
Mean length12.738762
Min length3

Characters and Unicode

Total characters93235
Distinct characters73
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1313 ?
Unique (%)17.9%

Sample

1st rowUnknown
2nd row3.4 oz/ 100 mL
3rd row3.4 oz/ 100 mL
4th row3.4 oz/ 100 mL
5th row3.4 oz/ 100 mL
ValueCountFrequency (%)
oz6092
22.0%
ml4774
17.2%
1524
 
5.5%
g1067
 
3.8%
unknown911
 
3.3%
50776
 
2.8%
1.7670
 
2.4%
30637
 
2.3%
1618
 
2.2%
100391
 
1.4%
Other values (981)10282
37.1%
2025-10-08T02:53:23.530841image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20451
21.9%
o7200
 
7.7%
07048
 
7.6%
z6240
 
6.7%
/6050
 
6.5%
.5724
 
6.1%
m4971
 
5.3%
14766
 
5.1%
L4710
 
5.1%
53794
 
4.1%
Other values (63)22281
23.9%

Most occurring categories

ValueCountFrequency (%)
(unknown)93235
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
20451
21.9%
o7200
 
7.7%
07048
 
7.6%
z6240
 
6.7%
/6050
 
6.5%
.5724
 
6.1%
m4971
 
5.3%
14766
 
5.1%
L4710
 
5.1%
53794
 
4.1%
Other values (63)22281
23.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown)93235
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
20451
21.9%
o7200
 
7.7%
07048
 
7.6%
z6240
 
6.7%
/6050
 
6.5%
.5724
 
6.1%
m4971
 
5.3%
14766
 
5.1%
L4710
 
5.1%
53794
 
4.1%
Other values (63)22281
23.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown)93235
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
20451
21.9%
o7200
 
7.7%
07048
 
7.6%
z6240
 
6.7%
/6050
 
6.5%
.5724
 
6.1%
m4971
 
5.3%
14766
 
5.1%
L4710
 
5.1%
53794
 
4.1%
Other values (63)22281
23.9%

variation_type
Categorical

High correlation 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size114.4 KiB
Size
3824 
Color
1553 
Size + Concentration + Formulation
1018 
Not Applicable
819 
Type
 
64
Other values (3)
 
41

Length

Max length34
Median length4
Mean length9.5295805
Min length4

Characters and Unicode

Total characters69747
Distinct characters23
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Applicable
2nd rowSize + Concentration + Formulation
3rd rowSize + Concentration + Formulation
4th rowSize + Concentration + Formulation
5th rowSize + Concentration + Formulation

Common Values

ValueCountFrequency (%)
Size3824
52.2%
Color1553
21.2%
Size + Concentration + Formulation1018
 
13.9%
Not Applicable819
 
11.2%
Type64
 
0.9%
Scent30
 
0.4%
Size + Concentration9
 
0.1%
Formulation2
 
< 0.1%

Length

2025-10-08T02:53:24.355661image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-10-08T02:53:24.962063image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
size4851
39.7%
2045
16.7%
color1553
 
12.7%
concentration1027
 
8.4%
formulation1020
 
8.3%
not819
 
6.7%
applicable819
 
6.7%
type64
 
0.5%
scent30
 
0.2%

Most occurring characters

ValueCountFrequency (%)
o8019
11.5%
i7717
11.1%
e6791
9.7%
4909
 
7.0%
S4881
 
7.0%
z4851
 
7.0%
l4211
 
6.0%
n4131
 
5.9%
t3923
 
5.6%
r3600
 
5.2%
Other values (13)16714
24.0%

Most occurring categories

ValueCountFrequency (%)
(unknown)69747
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
o8019
11.5%
i7717
11.1%
e6791
9.7%
4909
 
7.0%
S4881
 
7.0%
z4851
 
7.0%
l4211
 
6.0%
n4131
 
5.9%
t3923
 
5.6%
r3600
 
5.2%
Other values (13)16714
24.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown)69747
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
o8019
11.5%
i7717
11.1%
e6791
9.7%
4909
 
7.0%
S4881
 
7.0%
z4851
 
7.0%
l4211
 
6.0%
n4131
 
5.9%
t3923
 
5.6%
r3600
 
5.2%
Other values (13)16714
24.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown)69747
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
o8019
11.5%
i7717
11.1%
e6791
9.7%
4909
 
7.0%
S4881
 
7.0%
z4851
 
7.0%
l4211
 
6.0%
n4131
 
5.9%
t3923
 
5.6%
r3600
 
5.2%
Other values (13)16714
24.0%
Distinct2525
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Memory size114.4 KiB
2025-10-08T02:53:26.548626image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length82
Median length70
Mean length13.600902
Min length1

Characters and Unicode

Total characters99545
Distinct characters86
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1914 ?
Unique (%)26.2%

Sample

1st rowUnknown
2nd row3.4 oz/ 100 mL
3rd row3.4 oz/ 100 mL
4th row3.4 oz/ 100 mL
5th row3.4 oz/ 100 mL
ValueCountFrequency (%)
oz4589
 
17.5%
ml4049
 
15.4%
1134
 
4.3%
unknown935
 
3.6%
50747
 
2.8%
1.7645
 
2.5%
1529
 
2.0%
spray517
 
2.0%
30511
 
1.9%
de486
 
1.9%
Other values (1842)12082
46.1%
2025-10-08T02:53:27.861973image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18997
19.1%
o6659
 
6.7%
05163
 
5.2%
m4914
 
4.9%
z4764
 
4.8%
/4587
 
4.6%
L4162
 
4.2%
13817
 
3.8%
n3795
 
3.8%
.3689
 
3.7%
Other values (76)38998
39.2%

Most occurring categories

ValueCountFrequency (%)
(unknown)99545
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
18997
19.1%
o6659
 
6.7%
05163
 
5.2%
m4914
 
4.9%
z4764
 
4.8%
/4587
 
4.6%
L4162
 
4.2%
13817
 
3.8%
n3795
 
3.8%
.3689
 
3.7%
Other values (76)38998
39.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown)99545
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
18997
19.1%
o6659
 
6.7%
05163
 
5.2%
m4914
 
4.9%
z4764
 
4.8%
/4587
 
4.6%
L4162
 
4.2%
13817
 
3.8%
n3795
 
3.8%
.3689
 
3.7%
Other values (76)38998
39.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown)99545
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
18997
19.1%
o6659
 
6.7%
05163
 
5.2%
m4914
 
4.9%
z4764
 
4.8%
/4587
 
4.6%
L4162
 
4.2%
13817
 
3.8%
n3795
 
3.8%
.3689
 
3.7%
Other values (76)38998
39.2%
Distinct6396
Distinct (%)87.4%
Missing0
Missing (%)0.0%
Memory size114.4 KiB
2025-10-08T02:53:28.942217image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length16488
Median length1689
Mean length768.10452
Min length16

Characters and Unicode

Total characters5621757
Distinct characters124
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5569 ?
Unique (%)76.1%

Sample

1st row['Capri Eau de Parfum:', 'Alcohol Denat. (SD Alcohol 39C), Parfum (Fragrance) D-Limonene, Linalool, Benzyl Salicylate, Ethylhexyl Methoxycinnamate, Butyl Methoxydibenzoylmethane, Ethylhexyl Salicylate, Benzl Benzoate, Citral, Geraniol, Eugenol, Benzyl Alcohol, Farnesol, Citronellol, Isoeugenol.', 'Invisible Post Eau de Parfum:', 'Alcohol Denat. (SD Alcohol 39C), Parfum (Fragrance) Ethylhexyl Methoxycinnamate, Ethylhexyl Salicylate, Butyl Methoxydibenzoylmethane, Benzyl Benzoate, Citral, Coumarin, Limonene, Alpha-Isomethyl Ionone, Linalool.', 'Kashbah Eau de Parfum:', 'Alcohol Denat. (SD Alcohol 39C), Parfum (Fragrance) Coumarin, Ethylhexyl Methoxycinnamate, Butyl Methoxydibenzoylmethane, Ethylhexyl Salicylate, D-Limonene, Eugenol, Linalool, Citronellol, Geraniol, Cinnamal, Citral.', 'L’Air Barbes Eau de Parfum:', 'Alcohol Denat. (SD Alcohol 39C), Parfum (Fragrance) Benzyl Salicylate, D-Limonene, Ethylhexyl Methoxycinnamate, Butyl Methoxydibenzoylmethane, Ethylhexyl Salicylate, Linalool Citral, Alphaisomethyl Ionone, Benzyl Benzoate, Geraniol Farnesol, Isoeugenol, Eugenol.', 'La Habana Eau de Parfum:', 'Alcohol Denat. (SD Alcohol 39C), Parfum (Fragrance) Ethylhexyl Methoxycinnamate, Ethylhexyl Salicylate, Butyl Methoxydibenzoylmethane, Benzyl Alcohol, Benzyl Benzoate, Benzyl Cinnamate, Cinnamal, Citral, Coumarin Limonene, Eugenol, Alpha-Isomethyl Ionone, Linalool.', 'Purple Haze Eau de Parfum:', 'Alcohol Denat. (SD Alcohol 39C), Parfum (Fragrance) Octoxynol-10, D-Limonene, Ethylhexyl Methoxycinnamate, Butyl Methoxydibenzoylmethane, Ethylhexyl Salicylate, Geraniol, Linalool, Coumarin, Farnesol, Eugenol, Citral.', 'Rainbow Bar Eau de Parfum:', 'Alcohol Denat. (SD Alcohol 39C), Parfum (Fragrance) D-Limonene, Ethylhexyl Methoxycinnamate, Butyl Methoxydibenzoylmethane, Ethylhexyl Salicylate, Hexyl Cinnamal, Citronellol, Linalool, Coumarin, Eugenol, Citral, Isoeugenol, Geraniol.']
2nd row['Alcohol Denat. (SD Alcohol 39C), Parfum (Fragrance) Ethylhexyl Methoxycinnamate, Ethylhexyl Salicylate, Butyl Methoxydibenzoylmethane, Benzyl Alcohol, Benzyl Benzoate, Benzyl Cinnamate, Cinnamal, Citral, Coumarin Limonene, Eugenol, Alpha-Isomethyl Ionone, Linalool.']
3rd row['Alcohol Denat. (SD Alcohol 39C), Parfum (Fragrance) D-Limonene, Ethylhexyl Methoxycinnamate, Butyl Methoxydibenzoylmethane, Ethylhexyl Salicylate, Hexyl Cinnamal Citronellol, Linalool, Coumarin, Eugenol, Citral, Isoeugenol, Geraniol.']
4th row['Alcohol Denat. (SD Alcohol 39C), Parfum (Fragrance) Coumarin, Ethylhexyl Methoxycinnamate, Butyl Methoxydibenzoylmethane, Ethylhexyl Salicylate, D-Limonene, Eugenol, Linalool, Citronellol, Geraniol, Cinnamal, Citral.']
5th row['Alcohol Denat. (SD Alcohol 39C), Parfum (Fragrance) Octoxynol-10, D-Limonene, Ethylhexyl Methoxycinnamate, Butyl Methoxydibenzoylmethane, Ethylhexyl Salicylate, Geraniol, Linalool, Coumarin, Farnesol, Eugenol, Citral.']
ValueCountFrequency (%)
extract19497
 
3.2%
ci18977
 
3.2%
oil13258
 
2.2%
sodium12256
 
2.0%
acid9605
 
1.6%
glycol8529
 
1.4%
alcohol7747
 
1.3%
seed7645
 
1.3%
4712
 
0.8%
fruit4591
 
0.8%
Other values (11591)495626
82.3%
2025-10-08T02:53:29.997413image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
596642
 
10.6%
e436707
 
7.8%
a361920
 
6.4%
i347715
 
6.2%
l323344
 
5.8%
o303573
 
5.4%
t287614
 
5.1%
r275556
 
4.9%
,249663
 
4.4%
n228004
 
4.1%
Other values (114)2211019
39.3%

Most occurring categories

ValueCountFrequency (%)
(unknown)5621757
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
596642
 
10.6%
e436707
 
7.8%
a361920
 
6.4%
i347715
 
6.2%
l323344
 
5.8%
o303573
 
5.4%
t287614
 
5.1%
r275556
 
4.9%
,249663
 
4.4%
n228004
 
4.1%
Other values (114)2211019
39.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown)5621757
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
596642
 
10.6%
e436707
 
7.8%
a361920
 
6.4%
i347715
 
6.2%
l323344
 
5.8%
o303573
 
5.4%
t287614
 
5.1%
r275556
 
4.9%
,249663
 
4.4%
n228004
 
4.1%
Other values (114)2211019
39.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown)5621757
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
596642
 
10.6%
e436707
 
7.8%
a361920
 
6.4%
i347715
 
6.2%
l323344
 
5.8%
o303573
 
5.4%
t287614
 
5.1%
r275556
 
4.9%
,249663
 
4.4%
n228004
 
4.1%
Other values (114)2211019
39.3%

price_usd
Real number (ℝ)

Distinct273
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.518228
Minimum3
Maximum449
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size114.4 KiB
2025-10-08T02:53:30.293882image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile14
Q125
median35
Q358
95-th percentile140
Maximum449
Range446
Interquartile range (IQR)33

Descriptive statistics

Standard deviation47.672479
Coefficient of variation (CV)0.94366887
Kurtosis15.90191
Mean50.518228
Median Absolute Deviation (MAD)13
Skewness3.3633906
Sum369742.91
Variance2272.6653
MonotonicityNot monotonic
2025-10-08T02:53:30.610650image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30297
 
4.1%
32278
 
3.8%
25259
 
3.5%
28242
 
3.3%
20229
 
3.1%
38222
 
3.0%
26222
 
3.0%
24186
 
2.5%
29180
 
2.5%
35179
 
2.4%
Other values (263)5025
68.7%
ValueCountFrequency (%)
35
 
0.1%
3.53
 
< 0.1%
4.51
 
< 0.1%
514
0.2%
5.55
 
0.1%
5.992
 
< 0.1%
68
0.1%
6.42
 
< 0.1%
6.54
 
0.1%
6.71
 
< 0.1%
ValueCountFrequency (%)
4492
 
< 0.1%
4292
 
< 0.1%
4251
 
< 0.1%
4101
 
< 0.1%
4001
 
< 0.1%
3993
 
< 0.1%
3959
0.1%
3903
 
< 0.1%
3803
 
< 0.1%
3701
 
< 0.1%

limited_edition
Categorical

Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size114.4 KiB
0
6890 
1
 
429

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7319
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
06890
94.1%
1429
 
5.9%

Length

2025-10-08T02:53:30.850084image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-10-08T02:53:30.966902image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
06890
94.1%
1429
 
5.9%

Most occurring characters

ValueCountFrequency (%)
06890
94.1%
1429
 
5.9%

Most occurring categories

ValueCountFrequency (%)
(unknown)7319
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
06890
94.1%
1429
 
5.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown)7319
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
06890
94.1%
1429
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown)7319
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
06890
94.1%
1429
 
5.9%

new
Categorical

Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size114.4 KiB
0
6879 
1
 
440

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7319
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
06879
94.0%
1440
 
6.0%

Length

2025-10-08T02:53:31.192469image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-10-08T02:53:31.352181image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
06879
94.0%
1440
 
6.0%

Most occurring characters

ValueCountFrequency (%)
06879
94.0%
1440
 
6.0%

Most occurring categories

ValueCountFrequency (%)
(unknown)7319
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
06879
94.0%
1440
 
6.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown)7319
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
06879
94.0%
1440
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown)7319
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
06879
94.0%
1440
 
6.0%

online_only
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size114.4 KiB
0
5845 
1
1474 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7319
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
05845
79.9%
11474
 
20.1%

Length

2025-10-08T02:53:31.553500image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-10-08T02:53:31.676994image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
05845
79.9%
11474
 
20.1%

Most occurring characters

ValueCountFrequency (%)
05845
79.9%
11474
 
20.1%

Most occurring categories

ValueCountFrequency (%)
(unknown)7319
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
05845
79.9%
11474
 
20.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown)7319
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
05845
79.9%
11474
 
20.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown)7319
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
05845
79.9%
11474
 
20.1%

out_of_stock
Categorical

Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size114.4 KiB
0
6819 
1
 
500

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7319
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
06819
93.2%
1500
 
6.8%

Length

2025-10-08T02:53:31.830828image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-10-08T02:53:31.954934image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
06819
93.2%
1500
 
6.8%

Most occurring characters

ValueCountFrequency (%)
06819
93.2%
1500
 
6.8%

Most occurring categories

ValueCountFrequency (%)
(unknown)7319
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
06819
93.2%
1500
 
6.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown)7319
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
06819
93.2%
1500
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown)7319
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
06819
93.2%
1500
 
6.8%

sephora_exclusive
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size114.4 KiB
0
5305 
1
2014 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7319
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
05305
72.5%
12014
 
27.5%

Length

2025-10-08T02:53:32.104040image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-10-08T02:53:32.257260image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
05305
72.5%
12014
 
27.5%

Most occurring characters

ValueCountFrequency (%)
05305
72.5%
12014
 
27.5%

Most occurring categories

ValueCountFrequency (%)
(unknown)7319
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
05305
72.5%
12014
 
27.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown)7319
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
05305
72.5%
12014
 
27.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown)7319
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
05305
72.5%
12014
 
27.5%
Distinct4112
Distinct (%)56.2%
Missing0
Missing (%)0.0%
Memory size114.4 KiB
2025-10-08T02:53:33.102709image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length192
Median length157
Mean length77.646536
Min length9

Characters and Unicode

Total characters568295
Distinct characters62
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3326 ?
Unique (%)45.4%

Sample

1st row['Unisex/ Genderless Scent', 'Warm &Spicy Scent', 'Woody & Earthy Scent', 'Fresh Scent']
2nd row['Unisex/ Genderless Scent', 'Layerable Scent', 'Warm &Spicy Scent']
3rd row['Unisex/ Genderless Scent', 'Layerable Scent', 'Woody & Earthy Scent']
4th row['Unisex/ Genderless Scent', 'Layerable Scent', 'Warm &Spicy Scent']
5th row['Unisex/ Genderless Scent', 'Layerable Scent', 'Woody & Earthy Scent']
ValueCountFrequency (%)
for6460
 
9.1%
good5435
 
7.6%
without3014
 
4.2%
vegan2364
 
3.3%
clean2109
 
3.0%
highlights1700
 
2.4%
no1700
 
2.4%
cruelty-free1574
 
2.2%
at1534
 
2.2%
sephora1534
 
2.2%
Other values (145)43671
61.4%
2025-10-08T02:53:34.139078image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
63776
 
11.2%
'54893
 
9.7%
e38941
 
6.9%
o35016
 
6.2%
r29810
 
5.2%
a27114
 
4.8%
i26676
 
4.7%
n25652
 
4.5%
t23638
 
4.2%
,23469
 
4.1%
Other values (52)219310
38.6%

Most occurring categories

ValueCountFrequency (%)
(unknown)568295
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
63776
 
11.2%
'54893
 
9.7%
e38941
 
6.9%
o35016
 
6.2%
r29810
 
5.2%
a27114
 
4.8%
i26676
 
4.7%
n25652
 
4.5%
t23638
 
4.2%
,23469
 
4.1%
Other values (52)219310
38.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown)568295
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
63776
 
11.2%
'54893
 
9.7%
e38941
 
6.9%
o35016
 
6.2%
r29810
 
5.2%
a27114
 
4.8%
i26676
 
4.7%
n25652
 
4.5%
t23638
 
4.2%
,23469
 
4.1%
Other values (52)219310
38.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown)568295
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
63776
 
11.2%
'54893
 
9.7%
e38941
 
6.9%
o35016
 
6.2%
r29810
 
5.2%
a27114
 
4.8%
i26676
 
4.7%
n25652
 
4.5%
t23638
 
4.2%
,23469
 
4.1%
Other values (52)219310
38.6%

primary_category
Categorical

High correlation 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size114.4 KiB
Skincare
2224 
Makeup
1999 
Hair
1232 
Fragrance
1185 
Bath & Body
364 
Other values (3)
315 

Length

Max length15
Median length11
Mean length7.0894931
Min length3

Characters and Unicode

Total characters51888
Distinct characters26
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFragrance
2nd rowFragrance
3rd rowFragrance
4th rowFragrance
5th rowFragrance

Common Values

ValueCountFrequency (%)
Skincare2224
30.4%
Makeup1999
27.3%
Hair1232
16.8%
Fragrance1185
16.2%
Bath & Body364
 
5.0%
Mini Size256
 
3.5%
Men57
 
0.8%
Tools & Brushes2
 
< 0.1%

Length

2025-10-08T02:53:34.372462image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-10-08T02:53:34.818882image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
skincare2224
26.8%
makeup1999
24.1%
hair1232
14.8%
fragrance1185
14.3%
366
 
4.4%
bath364
 
4.4%
body364
 
4.4%
mini256
 
3.1%
size256
 
3.1%
men57
 
0.7%
Other values (2)4
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
a8189
15.8%
r5828
11.2%
e5723
11.0%
i4224
8.1%
k4223
8.1%
n3722
 
7.2%
c3409
 
6.6%
S2480
 
4.8%
M2312
 
4.5%
u2001
 
3.9%
Other values (16)9777
18.8%

Most occurring categories

ValueCountFrequency (%)
(unknown)51888
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a8189
15.8%
r5828
11.2%
e5723
11.0%
i4224
8.1%
k4223
8.1%
n3722
 
7.2%
c3409
 
6.6%
S2480
 
4.8%
M2312
 
4.5%
u2001
 
3.9%
Other values (16)9777
18.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown)51888
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a8189
15.8%
r5828
11.2%
e5723
11.0%
i4224
8.1%
k4223
8.1%
n3722
 
7.2%
c3409
 
6.6%
S2480
 
4.8%
M2312
 
4.5%
u2001
 
3.9%
Other values (16)9777
18.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown)51888
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a8189
15.8%
r5828
11.2%
e5723
11.0%
i4224
8.1%
k4223
8.1%
n3722
 
7.2%
c3409
 
6.6%
S2480
 
4.8%
M2312
 
4.5%
u2001
 
3.9%
Other values (16)9777
18.8%

secondary_category
Categorical

High correlation 

Distinct39
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size114.4 KiB
Women
815 
Hair Styling & Treatments
729 
Eye
650 
Face
644 
Moisturizers
526 
Other values (34)
3955 

Length

Max length25
Median length18
Mean length10.467004
Min length3

Characters and Unicode

Total characters76608
Distinct characters41
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowValue & Gift Sets
2nd rowWomen
3rd rowWomen
4th rowWomen
5th rowWomen

Common Values

ValueCountFrequency (%)
Women815
11.1%
Hair Styling & Treatments729
 
10.0%
Eye650
 
8.9%
Face644
 
8.8%
Moisturizers526
 
7.2%
Treatments447
 
6.1%
Shampoo & Conditioner405
 
5.5%
Value & Gift Sets387
 
5.3%
Lip384
 
5.2%
Cleansers347
 
4.7%
Other values (29)1985
27.1%

Length

2025-10-08T02:53:35.221603image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1811
 
13.9%
treatments1236
 
9.5%
eye832
 
6.4%
women815
 
6.3%
hair779
 
6.0%
moisturizers734
 
5.6%
styling729
 
5.6%
face644
 
5.0%
lip444
 
3.4%
conditioner405
 
3.1%
Other values (41)4568
35.1%

Most occurring characters

ValueCountFrequency (%)
e9515
 
12.4%
5678
 
7.4%
t5390
 
7.0%
i5341
 
7.0%
n4993
 
6.5%
r4897
 
6.4%
a4873
 
6.4%
s4865
 
6.4%
o3747
 
4.9%
m2643
 
3.5%
Other values (31)24666
32.2%

Most occurring categories

ValueCountFrequency (%)
(unknown)76608
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e9515
 
12.4%
5678
 
7.4%
t5390
 
7.0%
i5341
 
7.0%
n4993
 
6.5%
r4897
 
6.4%
a4873
 
6.4%
s4865
 
6.4%
o3747
 
4.9%
m2643
 
3.5%
Other values (31)24666
32.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown)76608
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e9515
 
12.4%
5678
 
7.4%
t5390
 
7.0%
i5341
 
7.0%
n4993
 
6.5%
r4897
 
6.4%
a4873
 
6.4%
s4865
 
6.4%
o3747
 
4.9%
m2643
 
3.5%
Other values (31)24666
32.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown)76608
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e9515
 
12.4%
5678
 
7.4%
t5390
 
7.0%
i5341
 
7.0%
n4993
 
6.5%
r4897
 
6.4%
a4873
 
6.4%
s4865
 
6.4%
o3747
 
4.9%
m2643
 
3.5%
Other values (31)24666
32.2%
Distinct107
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size114.4 KiB
2025-10-08T02:53:35.647229image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length26
Median length23
Mean length13.189917
Min length5

Characters and Unicode

Total characters96537
Distinct characters47
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.1%

Sample

1st rowPerfume Gift Sets
2nd rowPerfume
3rd rowPerfume
4th rowPerfume
5th rowPerfume
ValueCountFrequency (%)
1333
 
8.9%
face1034
 
6.9%
no840
 
5.6%
sub-category840
 
5.6%
perfume632
 
4.2%
hair544
 
3.6%
body485
 
3.2%
moisturizers372
 
2.5%
serums365
 
2.4%
eye352
 
2.3%
Other values (121)8203
54.7%
2025-10-08T02:53:36.453743image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e10168
 
10.5%
7681
 
8.0%
r7099
 
7.4%
a6568
 
6.8%
o6103
 
6.3%
s5940
 
6.2%
i4805
 
5.0%
t4787
 
5.0%
l3607
 
3.7%
n3279
 
3.4%
Other values (37)36500
37.8%

Most occurring categories

ValueCountFrequency (%)
(unknown)96537
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e10168
 
10.5%
7681
 
8.0%
r7099
 
7.4%
a6568
 
6.8%
o6103
 
6.3%
s5940
 
6.2%
i4805
 
5.0%
t4787
 
5.0%
l3607
 
3.7%
n3279
 
3.4%
Other values (37)36500
37.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown)96537
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e10168
 
10.5%
7681
 
8.0%
r7099
 
7.4%
a6568
 
6.8%
o6103
 
6.3%
s5940
 
6.2%
i4805
 
5.0%
t4787
 
5.0%
l3607
 
3.7%
n3279
 
3.4%
Other values (37)36500
37.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown)96537
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e10168
 
10.5%
7681
 
8.0%
r7099
 
7.4%
a6568
 
6.8%
o6103
 
6.3%
s5940
 
6.2%
i4805
 
5.0%
t4787
 
5.0%
l3607
 
3.7%
n3279
 
3.4%
Other values (37)36500
37.8%

child_count
Real number (ℝ)

Zeros 

Distinct55
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7946441
Minimum0
Maximum105
Zeros4758
Zeros (%)65.0%
Negative0
Negative (%)0.0%
Memory size114.4 KiB
2025-10-08T02:53:36.828769image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile9
Maximum105
Range105
Interquartile range (IQR)1

Descriptive statistics

Standard deviation5.6901687
Coefficient of variation (CV)3.1706391
Kurtosis53.416068
Mean1.7946441
Median Absolute Deviation (MAD)0
Skewness6.2518825
Sum13135
Variance32.37802
MonotonicityNot monotonic
2025-10-08T02:53:37.378656image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
04758
65.0%
11072
 
14.6%
2457
 
6.2%
3239
 
3.3%
5127
 
1.7%
4124
 
1.7%
772
 
1.0%
950
 
0.7%
649
 
0.7%
1137
 
0.5%
Other values (45)334
 
4.6%
ValueCountFrequency (%)
04758
65.0%
11072
 
14.6%
2457
 
6.2%
3239
 
3.3%
4124
 
1.7%
5127
 
1.7%
649
 
0.7%
772
 
1.0%
835
 
0.5%
950
 
0.7%
ValueCountFrequency (%)
1051
 
< 0.1%
781
 
< 0.1%
732
 
< 0.1%
631
 
< 0.1%
592
 
< 0.1%
551
 
< 0.1%
511
 
< 0.1%
502
 
< 0.1%
498
0.1%
472
 
< 0.1%

Interactions

2025-10-08T02:53:15.734185image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-08T02:53:12.273234image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-08T02:53:12.999892image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-08T02:53:13.826295image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-08T02:53:14.486786image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-08T02:53:15.130597image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-08T02:53:15.843307image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-08T02:53:12.460123image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-08T02:53:13.106085image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-08T02:53:13.944867image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-08T02:53:14.595605image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-08T02:53:15.231075image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-08T02:53:15.968885image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-08T02:53:12.567460image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-08T02:53:13.363711image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-08T02:53:14.073570image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-08T02:53:14.697093image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-08T02:53:15.324651image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-08T02:53:16.106469image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-08T02:53:12.672127image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-08T02:53:13.478221image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-08T02:53:14.189446image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-08T02:53:14.805108image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-08T02:53:15.428583image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-08T02:53:16.197370image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-08T02:53:12.777788image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-08T02:53:13.627456image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-08T02:53:14.291892image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-08T02:53:14.911683image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-08T02:53:15.537445image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-08T02:53:16.283496image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-08T02:53:12.877643image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-08T02:53:13.728269image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-08T02:53:14.388270image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-08T02:53:15.012920image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-08T02:53:15.640101image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-10-08T02:53:38.129902image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
brand_idchild_countlimited_editionloves_countnewonline_onlyout_of_stockprice_usdprimary_categoryratingreviewssecondary_categorysephora_exclusivevariation_type
brand_id1.000-0.1170.021-0.1740.1070.1720.104-0.0880.208-0.003-0.1710.2340.2460.150
child_count-0.1171.0000.0350.3860.0000.0700.0270.0370.1200.0330.3460.1480.0410.151
limited_edition0.0210.0351.0000.0310.1060.0480.1710.0490.1290.1220.0180.4480.0730.398
loves_count-0.1740.3860.0311.0000.0230.0940.026-0.1490.061-0.0580.7000.0530.0410.070
new0.1070.0000.1060.0231.0000.0120.0000.0320.0260.1860.0160.1000.0740.055
online_only0.1720.0700.0480.0940.0121.0000.0000.0870.1900.1310.0770.2170.0840.139
out_of_stock0.1040.0270.1710.0260.0000.0001.0000.0320.0750.0310.0290.1520.0030.128
price_usd-0.0880.0370.049-0.1490.0320.0870.0321.0000.2130.180-0.0360.2590.1440.201
primary_category0.2080.1200.1290.0610.0260.1900.0750.2131.0000.0540.0510.8970.1260.442
rating-0.0030.0330.122-0.0580.1860.1310.0310.1800.0541.0000.1140.1030.0000.061
reviews-0.1710.3460.0180.7000.0160.0770.029-0.0360.0510.1141.0000.0600.0190.041
secondary_category0.2340.1480.4480.0530.1000.2170.1520.2590.8970.1030.0601.0000.1670.558
sephora_exclusive0.2460.0410.0730.0410.0740.0840.0030.1440.1260.0000.0190.1671.0000.123
variation_type0.1500.1510.3980.0700.0550.1390.1280.2010.4420.0610.0410.5580.1231.000

Missing values

2025-10-08T02:53:16.618770image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-10-08T02:53:16.802648image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

product_idproduct_namebrand_idbrand_nameloves_countratingreviewssizevariation_typevariation_valueingredientsprice_usdlimited_editionnewonline_onlyout_of_stocksephora_exclusivehighlightsprimary_categorysecondary_categorytertiary_categorychild_count
0P473671Fragrance Discovery Set634219-6963203.636411.0UnknownNot ApplicableUnknown['Capri Eau de Parfum:', 'Alcohol Denat. (SD Alcohol 39C), Parfum (Fragrance) D-Limonene, Linalool, Benzyl Salicylate, Ethylhexyl Methoxycinnamate, Butyl Methoxydibenzoylmethane, Ethylhexyl Salicylate, Benzl Benzoate, Citral, Geraniol, Eugenol, Benzyl Alcohol, Farnesol, Citronellol, Isoeugenol.', 'Invisible Post Eau de Parfum:', 'Alcohol Denat. (SD Alcohol 39C), Parfum (Fragrance) Ethylhexyl Methoxycinnamate, Ethylhexyl Salicylate, Butyl Methoxydibenzoylmethane, Benzyl Benzoate, Citral, Coumarin, Limonene, Alpha-Isomethyl Ionone, Linalool.', 'Kashbah Eau de Parfum:', 'Alcohol Denat. (SD Alcohol 39C), Parfum (Fragrance) Coumarin, Ethylhexyl Methoxycinnamate, Butyl Methoxydibenzoylmethane, Ethylhexyl Salicylate, D-Limonene, Eugenol, Linalool, Citronellol, Geraniol, Cinnamal, Citral.', 'L’Air Barbes Eau de Parfum:', 'Alcohol Denat. (SD Alcohol 39C), Parfum (Fragrance) Benzyl Salicylate, D-Limonene, Ethylhexyl Methoxycinnamate, Butyl Methoxydibenzoylmethane, Ethylhexyl Salicylate, Linalool Citral, Alphaisomethyl Ionone, Benzyl Benzoate, Geraniol Farnesol, Isoeugenol, Eugenol.', 'La Habana Eau de Parfum:', 'Alcohol Denat. (SD Alcohol 39C), Parfum (Fragrance) Ethylhexyl Methoxycinnamate, Ethylhexyl Salicylate, Butyl Methoxydibenzoylmethane, Benzyl Alcohol, Benzyl Benzoate, Benzyl Cinnamate, Cinnamal, Citral, Coumarin Limonene, Eugenol, Alpha-Isomethyl Ionone, Linalool.', 'Purple Haze Eau de Parfum:', 'Alcohol Denat. (SD Alcohol 39C), Parfum (Fragrance) Octoxynol-10, D-Limonene, Ethylhexyl Methoxycinnamate, Butyl Methoxydibenzoylmethane, Ethylhexyl Salicylate, Geraniol, Linalool, Coumarin, Farnesol, Eugenol, Citral.', 'Rainbow Bar Eau de Parfum:', 'Alcohol Denat. (SD Alcohol 39C), Parfum (Fragrance) D-Limonene, Ethylhexyl Methoxycinnamate, Butyl Methoxydibenzoylmethane, Ethylhexyl Salicylate, Hexyl Cinnamal, Citronellol, Linalool, Coumarin, Eugenol, Citral, Isoeugenol, Geraniol.']35.000100['Unisex/ Genderless Scent', 'Warm &Spicy Scent', 'Woody & Earthy Scent', 'Fresh Scent']FragranceValue & Gift SetsPerfume Gift Sets0
1P473668La Habana Eau de Parfum634219-6938274.153813.03.4 oz/ 100 mLSize + Concentration + Formulation3.4 oz/ 100 mL['Alcohol Denat. (SD Alcohol 39C), Parfum (Fragrance) Ethylhexyl Methoxycinnamate, Ethylhexyl Salicylate, Butyl Methoxydibenzoylmethane, Benzyl Alcohol, Benzyl Benzoate, Benzyl Cinnamate, Cinnamal, Citral, Coumarin Limonene, Eugenol, Alpha-Isomethyl Ionone, Linalool.']195.000100['Unisex/ Genderless Scent', 'Layerable Scent', 'Warm &Spicy Scent']FragranceWomenPerfume2
2P473662Rainbow Bar Eau de Parfum634219-6932534.250016.03.4 oz/ 100 mLSize + Concentration + Formulation3.4 oz/ 100 mL['Alcohol Denat. (SD Alcohol 39C), Parfum (Fragrance) D-Limonene, Ethylhexyl Methoxycinnamate, Butyl Methoxydibenzoylmethane, Ethylhexyl Salicylate, Hexyl Cinnamal Citronellol, Linalool, Coumarin, Eugenol, Citral, Isoeugenol, Geraniol.']195.000100['Unisex/ Genderless Scent', 'Layerable Scent', 'Woody & Earthy Scent']FragranceWomenPerfume2
3P473660Kasbah Eau de Parfum634219-6930184.476221.03.4 oz/ 100 mLSize + Concentration + Formulation3.4 oz/ 100 mL['Alcohol Denat. (SD Alcohol 39C), Parfum (Fragrance) Coumarin, Ethylhexyl Methoxycinnamate, Butyl Methoxydibenzoylmethane, Ethylhexyl Salicylate, D-Limonene, Eugenol, Linalool, Citronellol, Geraniol, Cinnamal, Citral.']195.000100['Unisex/ Genderless Scent', 'Layerable Scent', 'Warm &Spicy Scent']FragranceWomenPerfume2
4P473658Purple Haze Eau de Parfum634219-6926913.230813.03.4 oz/ 100 mLSize + Concentration + Formulation3.4 oz/ 100 mL['Alcohol Denat. (SD Alcohol 39C), Parfum (Fragrance) Octoxynol-10, D-Limonene, Ethylhexyl Methoxycinnamate, Butyl Methoxydibenzoylmethane, Ethylhexyl Salicylate, Geraniol, Linalool, Coumarin, Farnesol, Eugenol, Citral.']195.000100['Unisex/ Genderless Scent', 'Layerable Scent', 'Woody & Earthy Scent']FragranceWomenPerfume2
5P473661Kasbah Eau de Parfum Travel Spray634219-6924484.476221.00.25 oz/ 7.5 mLSize + Concentration + Formulation0.25 oz/ 7.5 mL Eau de Parfum Spray['Alcohol Denat. (SD Alcohol 39C), Parfum (Fragrance) Coumarin, Ethylhexyl Methoxycinnamate,', 'Butyl Methoxydibenzoylmethane, Ethylhexyl Salicylate, D-Limonene, Eugenol, Linalool, Citronellol, Geraniol, Cinnamal, Citral.']30.000100['Warm &Spicy Scent', 'Unisex/ Genderless Scent', 'Layerable Scent']FragranceWomenRollerballs & Travel Size0
6P473659Purple Haze Eau de Parfum Travel Spray634219-6916193.230813.00.25 oz/ 7.5 mLSize + Concentration + Formulation0.25 oz/ 7.5 mL['Alcohol Denat. (SD Alcohol 39C), Parfum (Fragrance) Octoxynol-10, D-Limonene, Ethylhexyl Methoxycinnamate, Butyl Methoxydibenzoylmethane, Ethylhexyl Salicylate, Geraniol, Linalool, Coumarin, Farnesol, Eugenol, Citral.']30.000100['Unisex/ Genderless Scent', 'Layerable Scent', 'Woody & Earthy Scent']FragranceWomenRollerballs & Travel Size0
7P473666Invisible Post Eau de Parfum634219-6915423.62508.03.4 oz/ 100 mLSize + Concentration + Formulation3.4 oz/ 100 mL['Alcohol Denat. (SD Alcohol 39C), Parfum (Fragrance) Ethylhexyl Methoxycinnamate, Ethylhexyl Salicylate, Butyl Methoxydibenzoylmethane, Benzyl Benzoate, Citral, Coumarin, Limonene, Alpha-Isomethyl Ionone, Linalool.']195.000100['Unisex/ Genderless Scent', 'allure 2022 Best of Beauty Award Winner', 'Fresh Scent']FragranceWomenPerfume2
8P472300Capri Eau de Parfum634219-6915423.57147.03.4 oz/ 100 mLSize + Concentration + Formulation3.4 oz/ 100 mL Eau de Parfum Spray['Alcohol Denat. (SD Alcohol 39C), Parfum (Fragrance) D-Limonene, Linalool, Benzyl Salicylate, Ethylhexyl Methoxycinnamate, Butyl Methoxydibenzoylmethane, Ethylhexyl Salicylate,', 'Benzl Benzoate, Citral, Geraniol, Eugenol, Benzyl Alcohol, Farnesol, Citronellol, Isoeugenol.']195.000100['Fresh Scent', 'Layerable Scent', 'Unisex/ Genderless Scent']FragranceWomenPerfume2
9P473667Invisible Post Eau de Parfum Travel Spray634219-6913773.62508.00.25 oz/ 7.5 mLSize + Concentration + Formulation0.25 oz/ 7.5 mL['Alcohol Denat. (SD Alcohol 39C), Parfum (Fragrance) Ethylhexyl Methoxycinnamate, Ethylhexyl Salicylate, Butyl Methoxydibenzoylmethane, Benzyl Benzoate, Citral, Coumarin, Limonene, Alpha-Isomethyl Ionone, Linalool.']30.000100['Unisex/ Genderless Scent', 'allure 2022 Best of Beauty Award Winner', 'Fresh Scent']FragranceWomenRollerballs & Travel Size0
product_idproduct_namebrand_idbrand_nameloves_countratingreviewssizevariation_typevariation_valueingredientsprice_usdlimited_editionnewonline_onlyout_of_stocksephora_exclusivehighlightsprimary_categorysecondary_categorytertiary_categorychild_count
8481P383083L’Homme Parfum Intense1070Yves Saint Laurent43694.579588.03.3 oz/ 100 mLSize + Concentration + Formulation3.3 oz/ 100 mL Eau de Parfum Spray['Alcohol, Aqua / Water, Parfum / Fragrance, Benzyl Salicylate, Butyl Methoxydibenzoylmethane, Ethylhexyl Methoxycinnamate, Coumarin, Limonene, Benzyl Alcohol, Linalool, Alpha-Isomethyl Ionone, Geraniol, Methyl Anthranilate, Citral, Citronellol, Cinnamal, Ci 19140 / Yellow 5, Ci 14700 / Red 4, Ci 60730 / Ext. Violet 2, Ci 17200 / Red 33, Ci 42090 / Blue 1.']110.000010No HighlightsFragranceMenCologne0
8482P504333Black Opium Perfume Gift Set1070Yves Saint Laurent38445.00002.0UnknownNot ApplicableUnknown['Alcohol, Water, Benzyl Salicylate, Benzyl Alcohol, Hydroxycitronellal, Butyl Methoxydibenzoylmethane, Hexyl Cinnamal, Limonene, Linalool, Geraniol, Citronellol, Cinnamyl Alcohol, Methyl Anthranilate, Amyl Cinnamal, Citral, Coumarin, Benzyl Benzoate, Ci 15985/Yellow 6, Ci 17200/Red 33.']85.011000No HighlightsFragranceValue & Gift SetsPerfume Gift Sets0
8483P460446L'Homme Le Parfum1070Yves Saint Laurent38125.00006.03.3 oz/ 100 mLSize + Concentration + Formulation3.3 oz/ 100 mL['Alcohol, Aqua / Water, Parfum / Fragrance, Limonene, Butyl Methoxydibenzoylmethane, Hydroxycitronellal, Linalool, Citronellol, Coumarin, Geraniol, Citral, Ci 60730 / Ext. Violet 2, Ci 19140 / Yellow 5, Ci 14700 / Red 4, Ci 42090 / Blue 1.']148.000000No HighlightsFragranceMenCologne1
8484P467660Mascara Volume Effet Faux Cils Radical1070Yves Saint Laurent34894.0192104.00.25 oz/ 7.5 mlSize0.25 oz/ 7.5 ml['Aqua/Water, Paraffin, Stearic Acid, Copernicia Cerifera Cera/Carnauba Wax, Palmitic Acid, C10-30 Cholesterol/Lanosterol Esters, Cera Alba/Beeswax, Triethanolamine, Nylon-12, Aminomethyl Propanol, Phenoxyethanol, Hydroxyethylcellulose, Candelilla Cera/Candelilla Wax, Laureth-21, Stearyl Stearate, Stearyl Palmitate, Vp/Eicosene Copolymer, Dimethicone, Myristic Acid Silica, Tocopheryl Acetate, Panthenol, Cetyl Palmitate, Peg-40 Hydrogenated Castor Oil, Cetyl Stearate, Methylparaben, Adipic Acid/Diglycol Crosspolymer, Sorbitan Stearate, Butylparaben, Peg-40 Stearate, Behenic Acid, Bht, Ethylparaben, Cera Microcristallina/Microcrystalline Wax, Argania Spinosa Kernel Oil, Ricinus Communis Seed Oil/Castor Seed Oil, Prunus Amygdalus Dulcis Oil/Sweet Almond Oil, Propylparaben, Carthamus Tinctorius Seed Oil/Safflower Seed Oil, Benzyl Alcohol, Sodium Dehydroacetate, Glycerin, Arachidic Acid, Tocopherol, Juglans Regia Leaf Extract/Walnut Leaf Extract, Parfum/Fragrance. [May Contain Ci 77499/Iron Oxides, Ci 77266 [Nano]/Black 2, Ci 77007/Ultramarines.]']29.000000No HighlightsMakeupEyeMascara0
8486P457262Y Eau Fraiche1070Yves Saint Laurent30894.7333150.03.4 oz/ 100 mLSize + Concentration + Formulation3.4 oz/ 100 mL Spray['Alcohol, Parfum / Fragrance, Aqua / Water, Limonene, Linalool, Ethylhexyl Salicylate, Butyl Methoxydibenzoylmethane, Citral, Alpha-Isomethyl Ionone, Hexyl Cinnamal, Citronellol, Geraniol, Coumarin, Ci 60730 / Ext. Violet 2, Ci 42090 / Blue 1.']99.000010['Fresh Scent', 'Layerable Scent']FragranceMenCologne0
8487P501330Black Opium Gift Set1070Yves Saint Laurent30863.50002.0UnknownNot ApplicableUnknown['The Slim Velvet Radical:', 'Dimethicone, Bis-Diglyceryl Polyacyladipate-2, Hydrogenated Polyisobutene, Tridecyl Trimellitate, Phenyl Trimethicone, Isohexadecane, Hydrogenated Jojoba Oil, Dimethicone Crosspolymer, Isostearyl Isostearate, Paraffin, Ci 77492/Iron Oxides, Methylsilanol/Silicate Crosspolymer, Ci 77891/Titanium Dioxide, Cera Microcristallina/Microcrystalline Wax, Kaolin, Mica, Vinyl Dimethicone/Methicone Silsesquioxane Crosspolymer, Nylon-12, Polyethylene, Ci 77491/Iron Oxides, Synthetic Wax, Ci 15850/Red 7, Ci 77499/Iron Oxides, Triethoxysilylethyl Polydimethylsiloxyethyl Dimethicone, Isopropyl Titanium Triisostearate, Pentaerythrityl Tetra-Di-T-Butyl Hydroxyhydrocinnamate, Alumina, Benzyl Alcohol, Limonene, Aqua/Water, Propanediol, Benzyl Benzoate, Anise Alcohol, Tocopherol, Pelargonium Graveolens Extract, Parfum/Fragrance.', 'Black Opium Eau de Parfum:', 'Alcohol, Water, Benzyl Salicylate, Benzyl Alcohol, Hydroxycitronellal, Butyl Methoxydibenzoylmethane, Hexyl Cinnamal, Limonene, Linalool, Geraniol, Citronellol, Cinnamyl Alcohol, Methyl Anthranilate, Amyl Cinnamal, Citral, Coumarin, Benzyl Benzoate, Ci 15985/Yellow 6, Ci 17200/Red 33']150.010010No HighlightsFragranceValue & Gift SetsPerfume Gift Sets0
8488P504430Libre Eau de Parfum Gift Set1070Yves Saint Laurent28645.00001.0UnknownNot ApplicableUnknown['Libre Eau de Parfum:', 'Alcohol, Parfum/Fragrance, Aqua/Water, Limonene, Linalool, Benzyl Salicylate, Hydroxycitronellal, Benzyl Alcohol, Ethylhexyl Salicylate, Butyl Methoxydibenzoylmethane, Coumarin, Geraniol, Methyl Anthranilate, Citronellol, Citral, Isoeugenol, Alpha-Isomethyl Ionone, Farnesol, Ci 14700/Red 4, Ci 19140/Yellow 5, Ci 60730/Ext., Violet 2.', 'Body Lotion:', 'Aqua / Water / Eau , Glycerin , Propanediol , Cetyl Alcohol , Butyrospermum Parkii Butter / Shea Butter , Isopropyl Palmitate , Parfum / Fragrance , Prunus Amygdalus Dulcis Oil / Sweet Almond Oil , Myristyl Myristate , Zea Mays Starch / Corn Starch , Polyglyceryl-3 Methylglucose Distearate , Sodium Polyacrylate , Carbomer , Hydrogenated Starch Hydrolysate , Caprylyl Glycol , Benzoic Acid , Sodium Hydroxide , Linalool , Limonene , C12-13 Alkyl Lactate , Benzyl Alcohol , Benzyl Salicylate , Sodium Hyaluronate , Hydroxycitronellal , Coumarin , Geraniol , Citronellol , Lippia Citriodora Leaf Extract , Citral , Isoeugenol , Citric Acid']148.011110No HighlightsFragranceValue & Gift SetsPerfume Gift Sets0
8489P467659Couture Clutch Eyeshadow Palette1070Yves Saint Laurent27904.42867.0UnknownNot ApplicableUnknown['Talc, Synthetic Fluorphlogopite, Triethylhexanoin, Octyldodecyl Stearoyl Stearate, Ci 77891 / Titanium Dioxide, Caprylyl Glycol, Ci 77491, Ci 77499 / Iron Oxides, Dehydroacetic Acid, Phenoxyethanol, Caprylic/Capric Triglyceride, Hexylene Glycol, Punica Granatum Fruit Extract.']150.000000No HighlightsMakeupEyeEye Palettes0
8490P500874L'Homme Eau de Parfum1070Yves Saint Laurent23194.6367556.02 oz / 60 mLSize + Concentration + Formulation2 oz / 60 mL eau de parfum spray['Alcohol, Aqua / Water / Eau, Parfum / Fragrance, Limonene, Linalool, Coumarin, Butyl Methoxydibenzoylmethane, Alpha-Isomethyl Ionone, Geraniol, Citral, Citronellol, Tris(Tetramethylhydroxypiperidinol) Citrate, Ci 15985 / Yellow 6, Cinnamal, Ci 14700 / Red 4, Isoeugenol, Eugenol, Ci 19140 / Yellow 5, Ci 42090 / Blue 1.']106.000000['Layerable Scent', 'Woody & Earthy Scent']FragranceMenCologne1
8491P504428Mon Paris Eau de Parfum Gift Set1070Yves Saint Laurent14755.00002.0UnknownNot ApplicableUnknown['Mon Paris Eau de Parfum:', 'Alcohol, Parfum/Fragrance, Aqua/Water, Benzyl Salicylate, Linalool, Benzyl Alcohol, Hydroxycitronellal, Ethylhexyl Methoxycinnamate, Limonene, Hexyl Cinnamal, Geraniol, Citronellol, Butyl Methoxydibenzoylmethane, Ethylhexyl Salicylate, Eugenol, Citral, Tris (Tetramethylhydroxypiperidinol) Citrate, Benzyl Benzoate, Farnesol, Bht, Ci 17200/Red 33, Ci 60730/Ext. Violet 2.', 'Body Lotion:', 'Aqua / Water , Glycerin , Propanediol , Isopropyl Palmitate , Alcohol Denat. , Parfum / Fragrance , Cetyl Alcohol , Myristyl Myristate , Olea Europaea Fruit Oil / Olive Fruit Oil , Zea Mays Starch / Corn Starch , Prunus Armeniaca Kernel Oil / Apricot Kernel Oil , Persea Gratissima Oil / Avocado Oil , Sodium Polyacrylate , Caprylyl Glycol , Carbomer , Benzyl Salicylate , Limnanthes Alba Seed Oil / Meadowfoam Seed Oil , Tocopheryl Acetate , Polyglyceryl-3 Methylglucose Distearate , Butyl Methoxydibenzoylmethane , Ethylhexyl Methoxycinnamate , Benzoic Acid , Benzyl Alcohol , Linalool , Sodium Hydroxide , C12-13 Alkyl Lactate , Tetrasodium Edta , Hydroxycitronellal , Citronellol , Geraniol , Limonene , Citral , Bht , Ci 17200 / Red 33']134.011110No HighlightsFragranceValue & Gift SetsPerfume Gift Sets0